# Inliner MCP Server

> Use this tool when you need to manage image projects, generate images, or edit existing ones using natural language commands. It solves problems related to image processing and project management, allowing AI agents to interact with Inliner.ai seamlessly. The tool takes natural language inputs and outputs generated or edited images, making it ideal for use cases that require automated image manipulation and project tracking.

Canonical page: https://skillsregistry.net/skills/inliner-ai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/inliner-ai-mcp-server

## Description

Enables AI coding agents to manage image projects, generate and edit images, and check usage via Inliner.ai through natural language commands.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fa6yy8c0ah)
- **Repository:** <https://github.com/inliner-ai/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "inliner-ai-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inliner-ai-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inliner-ai-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt